Senior Software Engineer
Build and own the distributed systems infrastructure powering Customer.io's marketing automation platform, handling billions of events daily with a focus on scale, reliability, and real-time processing in Go.
As a Senior Software Engineer, Product Foundations, you will design and build core services and infrastructure for Metropolis Web Services, focusing on distributed systems, microservices, and developer tooling to ensure high availability and scalability.
The anticipated base salary for this position is $150,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.
Build and own the distributed systems infrastructure powering Customer.io's marketing automation platform, handling billions of events daily with a focus on scale, reliability, and real-time processing in Go.
Backend engineer on the Engine Team building and optimizing Deepgram's core inference services for speech processing, audio transcoding, networking, scheduling, and high-performance computing. Requires 3+ years experience with Rust (or C/C++) and Python.
Senior Software Engineer on the Streaming team responsible for architecting and evolving high-throughput, low-latency event streaming platforms that power real-time messaging and personalization at scale. Requires 5+ years building distributed streaming systems with deep expertise in Kafka/Flink and Java/Spring Boot.
Senior Software Engineer owning end-to-end design and implementation of a high-scale scanning engine in Python and Go. Requires strong backend/systems experience, distributed systems expertise, and scanning engine background.
Build and scale high-performance backend systems and Core APIs for real-time fraud detection and data processing at Fingerprint. Requires 5+ years backend experience with strong Go and/or Node.js skills, plus expertise in scalable microservices, databases, and performance optimization.